{"id":"W2066878925","doi":"10.7202/020680ar","title":"La structure urbaine en république Argentine : le cas de Buenos Aires","year":2005,"lang":"en","type":"article","venue":"Cahiers de géographie du Québec","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Metropolitan area; Decentralization; Geography; Urban structure; Population; Political science; Government (linguistics); Demography; Urban planning; Sociology; Archaeology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007673246,0.0001334648,0.0001352327,0.0003932427,0.0005838983,0.0001335215,0.0002802235,0.0002995442,0.0001253613],"category_scores_gemma":[0.00043355,0.0001375367,0.00009433268,0.001105908,0.001854261,0.0003176923,0.00002120415,0.0003196975,0.00001291738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005542433,"about_ca_system_score_gemma":0.00195783,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03774501,"about_ca_topic_score_gemma":0.1872414,"domain_scores_codex":[0.9987079,0.0002301612,0.000209171,0.0002057908,0.0002578396,0.0003891285],"domain_scores_gemma":[0.9993292,0.0001593625,0.00009572971,0.0001233796,0.0001393884,0.0001529383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004238556,0.00008324054,0.0820237,0.00001866694,0.0001014089,0.00002536059,0.03881841,0.00004024769,0.001978195,0.7545845,0.078706,0.04357792],"study_design_scores_gemma":[0.0002577095,0.00001078329,0.1353758,0.000009773338,0.00001030609,0.00001020898,0.0007694268,0.0000191573,0.0003530423,0.004903507,0.8581036,0.000176656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928259,0.0002085786,0.0006000885,0.04376058,0.000100726,0.0001584554,0.000003907187,0.0001361391,0.02677258],"genre_scores_gemma":[0.9875083,0.0005297079,0.001282893,0.001725978,0.0005628896,0.0000177233,0.00002480447,0.00001900906,0.00832869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7793977,"threshold_uncertainty_score":0.9686627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005595873590691669,"score_gpt":0.2308676560236341,"score_spread":0.2252717824329424,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}